Clinical Applications of Blood-Derived Extracellular Vesicle Biomarkers in Breast Cancer: A Scoping Review.
Аннотация
Blood-derived extracellular vesicle (EV) biomarkers have emerged as promising liquid-biopsy analytes for monitoring treatment response and prognosis in breast cancer. This scoping review mapped the clinical evidence on blood-derived EV in breast cancer and identified key barriers to clinical translation. Following the Joanna Briggs Institute framework and PRISMA-ScR guidelines, we searched PubMed, Embase, and Web of Science for eligible studies published through November 2025. After duplicate removal, title and abstract screening, and full-text assessment, 64 clinical studies were included. Research activity increased markedly from 2020 onward, accounting for 87.5% (56/64) of included studies. The literature was concentrated in East Asia, particularly China (51.6%, 33/64). RNA-based biomarkers predominated (60.9%, 39/64), especially microRNAs (39.1%, 25/64). Prognostic outcomes were evaluated in 89.1% (57/64) of studies, treatment response in 51.6% (33/64), and both endpoints in 40.6% (26/64). Triple-negative breast cancer was the most frequently studied subtype in isolation (15.6%, 10/64). Methodological heterogeneity was substantial, and kit-based precipitation was the most common EV isolation method (57.8%, 37/64). EV biomarkers show promise for non-invasive monitoring in breast cancer, but methodological standardization, compliance with Minimal Information for Studies of Extracellular Vesicles guidelines, and large prospective validation studies remain necessary before routine clinical implementation.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.